These execs think voice AI hasn’t reached its ChatGPT moment yet
Voice AI execs say the field still lacks a ChatGPT-style breakthrough despite full-duplex models.
PolyAI CTO Shawn Wen said at the HumanX conference that full-duplex voice models can speak while listening, but reasoning is still too slow for natural conversation, so voice AI has not had a ChatGPT moment. Otter CMO Alex Gay said speaker identification, intent capture, and linking transcripts to organizational knowledge are needed before meeting automation and digital twins can work. Both said ASR keyword errors undermine downstream actions and that tools should disclose when people are speaking with AI or being recorded.
- PolyAI CTO says full-duplex models exist, but slow reasoning still blocks natural voice conversations.
- Otter says speaker identification and organizational context are required before meeting automation works.
- Both warn ASR errors corrupt transcripts and make downstream actions untrustworthy.
- Vendors should disclose when callers or meeting participants are speaking with AI or being recorded.
- Products
- Otter
From the original article
3 min read at techcrunch.com
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